Teaching
Chalmers University of Technology
Project assistant and Mentoring
Cosupervising a Degree Project in mathematical statistics– Spring 2024
- Lukas Fu, ”Modelling COVID-19 cases in Sweden using Statistics and Machine Learning. ”
JENSEN gymnasium Göteborg
Teacher in Technology/data
- Programming 1(Python language) -- Autumn 2023
- Programming 2 (C# language) -- Autumn 2023
- Webdevelopment 1(HTML and CSS)-- Autumn 2023
- Webdevelopment 2(JavaScript)-- Autumn 2023
- Computer and network technology-- Autumn 2023
KTH Royal Institute of Technology
Teaching Assistant
- SF1681 Linear Algebra (Swedish), Advanced course -- Autumn 2022
- SF1686 Calculus in Several Variable (English) -- Winter 2022
KTH Royal Institute of Technology
Mentoring
Cosupervising two graduate students with a Swedish financial technology company within their data team in Master Thesis project within mathematical statistics – Spring 2022
- Peter Abrahamsson and Niklas Ahlqvist, ”Evaluation of Machine Learning Methods for Time Series Forecasting on E-Commerce Data.”
Supervising 4 undergraduates in Degree Project in Applied Mathematics and Industrial Economics – Spring 2022
Gustav H. Granlund and Marcus Soderholm, ”Using regression analysis to evaluate KPI implementation at Volvo penta north America.”
Ellen Haavikko and Alva Lundgren, ”Company financial performance in relation to carbon dioxide emissions, a regression analysis of the biggest public companies in Sweden.”